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Method and system for monitoring and improving attention

a monitoring system and attention technology, applied in the field of monitoring and training attention, can solve the problems of higher dropout rate, higher likelihood of drug abuse, lower academic achievement, etc., and achieve the effect of encouragering vigilance in the subj

Pending Publication Date: 2019-01-10
ATENTIV LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The invention is a method for classifying brain signals to determine a person's level of attention or drowsiness. The method involves placing a device connected to a computer in front of a person and asking them to activate the device when they see a specific stimulus. The person's brain signals are recorded while they activate the device, and the signals are analyzed to determine if they are attentive or inattentive. The method can be used to identify the person's level of attention or drowsiness, and can be adjusted for age, gender, or specific psychiatric conditions. The method can also be used to generate a representation of the person's attention level for use in video games or other applications.

Problems solved by technology

Children who suffer from ADHD experience problems such as lower levels of academic achievement, higher dropout rates, higher likelihood of drug abuse, diminished social relationships, and a higher rate of mental illness than non-clinical children of the same age.
While medications have been reliably shown to improve behavior at home and in the classroom, these improvements seen after taking medication are not long-lasting.
Benefits also appear to be lost after termination of use and come with many side effects, including headaches, nausea, suppressed appetite, reduction in physical growth, and cardiovascular effects.
These stimulant medications are also potential drugs of abuse.

Method used

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  • Method and system for monitoring and improving attention
  • Method and system for monitoring and improving attention
  • Method and system for monitoring and improving attention

Examples

Experimental program
Comparison scheme
Effect test

example 1

n of EEG Annotated with Reaction Time Data

[0045]A psychomotor vigilance task (PVT), which measures a subject's reaction time to a stimulus, was administered to subjects while simultaneously recording the subjects' brain activity. This process was used to obtain information about whether a given set of EEG features at any instance are associated with attentiveness or inattentiveness. Measures of attention other than PVT may also be used. The PVT is also useful for eliciting states of attentiveness or inattentiveness in a subject during the data collection. This is achieved by administering stimuli at various intervals over a long period of time, during which the subject must attempt to remain vigilant in attending to the task. Instances of lased attention tend to result in longer reaction times, and such instances may become more frequent over time.

[0046]The PVT was administered through a touch-sensitive video monitor as follows: A light stimulus appeared at random intervals of 2 to ...

example 2

ification by Cluster Analysis

[0049]The EEG and PVT reaction times data were used to classify EEG features as characteristic of states of attention and inattention observed in the subjects during the course of the testing described in Example 1.

[0050]The EEG and PVT reaction times data were pooled. Each EEG feature in the pooled data was multiplied by the reaction time for its trial and also multiplied by the age of the specific subject to create a variable for analysis (the general form of equation is shown in equation 1).

Iba_theta_mastoid_r=latency*b_theta_mastoid_r*age  (1),

where Iba_theta_mastoid_r is the composite variable, latency is the reaction time, b_theta_mastoid_r is the relative EEG power in the mastoid channel frequency range of 4-8 Hz.

[0051]Each variable type was Z-transformed across the entire pool of like variables (the general form of equation is shown in equation 2).

Iba_theta_mastoid_rz=(Iba_theta_mastoid_r−E) / F  (2),

where Iba_theta_mastoid_rz is the Z-transformed ...

example 3

ification by Logistic Regression

[0055]The EEG and PVT reaction times data are used to classify EEG features as characteristic of states of attention and inattention observed in the subjects during the course of the testing described in Example 1.

[0056]The EEG and PVT reaction times data are pooled. The relative powers of the EEG bands (b_delta_mastoid_r, b_theta_mastoid_r, etc.) are examined for evidence of EEG slowing (i.e., increasing power in the delta and theta bands), coincident with longer reaction times, indicating drowsiness. A composite measure is created, and a threshold assigned. If the composite measure exceeds the threshold the trial is assigned to the inattentive drowsy group.

[0057]The remaining trials are subject to logistic regression to find the EEG features' correlates of reaction time (see FIG. 5). The correlation coefficients (e.g. Pearson's r) are examined, and the features with the weaker correlates are removed from further analysis. The remaining EEG features ...

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Abstract

The invention features methods and systems useful for monitoring attention. The methods and systems can be used as part of an EEG brain-to-computer interface that measures the attention level of a subject and trains the subject to improve attention.

Description

FIELD OF THE INVENTION[0001]The present invention features a method and system for monitoring and training attention in subjects.BACKGROUND OF THE INVENTION[0002]Attention Deficit / Hyperactivity Disorder (ADHD) is one of the most common childhood disorders, with the US CDC estimating that 11% of children between the ages of 3-17 struggle with the disorder. The underlying mechanisms and associated cognitive dysfunctions remain unclear, with several competing theories that all point to the complexity of this disorder. Children who suffer from ADHD experience problems such as lower levels of academic achievement, higher dropout rates, higher likelihood of drug abuse, diminished social relationships, and a higher rate of mental illness than non-clinical children of the same age. To date, the most efficacious and best studied treatment for ADHD remains stimulant medication. While medications have been reliably shown to improve behavior at home and in the classroom, these improvements seen...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): A61B5/16A61B5/0484A61B5/04A61B5/00A61B5/375
CPCA61B5/168A61B5/0484A61B5/726A61B5/6803A61B5/7257A61B5/04012A61B5/162G06F3/015G16H50/20A63F13/42A63F13/212A61B5/316A61B5/375A61B5/377A63F13/00A61B5/369
Inventor KRYSTAL, ANDREW D.SHAMBROOM, JOHN R.FABREGAS, STEPHAN E.TRACEY, BRIAN
Owner ATENTIV LLC
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